As per MRFR analysis, the South America Applied AI in Agriculture Market Size was estimated at 194 (USD Million) in 2023.The South America Applied AI in Agriculture Market is expected to grow from 251(USD Million) in 2024 to 4,349 (USD Million) by 2035. The South America Applied AI in Agriculture Market CAGR (growth rate) is expected to be around 29.602% during the forecast period (2025 - 2035).
Key South America Applied AI in Agriculture Market Trends Highlighted
The growing need to improve agricultural sustainability and production is driving notable industry developments in the South American applied AI in agriculture market. The increasing use of precision farming methods is one of the main factors propelling the market.
Drones and sensors are two examples of AI-driven technologies that farmers are increasingly using to track weather patterns, soil conditions, and crop health. With the help of these tools, farmers can make well-informed decisions that maximize resource utilization and progressively increase yields.
Furthermore, the growing government programs in nations like Argentina and Brazil to modernize agriculture and enhance food security are driving the use of AI in this field. This market offers a plethora of chances to investigate.
The growth of agro-tech companies in South America demonstrates the potential for innovation in AI applications like automated planting and harvesting equipment and predictive analytics for crop management. Furthermore, solutions that use AI to reduce pesticide use and improve crop resistance to climate change are becoming increasingly popular as environmental concerns grow.
These solutions are in line with the region's countries' commitment to promoting sustainable agriculture practices. AI integration with other digital technologies, such as blockchain and the Internet of Things (IoT), has been increasingly popular in agriculture in recent years.
Better data exchange, transparency, and traceability across the supply chain are guaranteed by this connection. Furthermore, collaborations between tech firms and agricultural organizations are become more frequent, which promotes technical breakthroughs and knowledge sharing.
All things considered, the South American agricultural sector's strong emphasis on innovation and sustainability creates a favorable atmosphere for the development and use of AI technology in agriculture.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
South America Applied AI in Agriculture Market Drivers
Rising Demand for Efficient Agricultural Practices
The agricultural sector in South America is currently facing significant pressures to increase productivity while also minimizing environmental impact. With a growing population and rising food needs, there is a surge in demand for innovative solutions that can enhance farm productivity.
According to the Food and Agriculture Organization, by 2050, the global population is expected to reach 9.7 billion, with South America needing to contribute significantly to this agricultural output.
Established organizations like the Brazilian Agricultural Research Corporation (Embrapa) are already leading initiatives integrating Artificial Intelligence with traditional farming techniques, aiming to foster sustainable practices.
Projects funded by the government have emphasized the importance of applying advanced technologies to boost crop yields by as much as 30%. This move is supported by various national agriculture policies which are focused on innovation. The South America Applied AI in Agriculture Market stands to benefit from this drive for efficiency.
Government Initiatives and Subsidies
Government support for modern agricultural practices in South America through subsidies and initiatives is a prominent driver for the growth of the South America Applied AI in Agriculture Market.
For instance, various nations in the region are implementing policies that encourage the adoption of technology in farming, such as Brazil’s National Rural Credit System which facilitates financing for innovative technologies. In Argentina, the Ministry of Agriculture has included provisions in their Agricultural Data Law that stimulate the use of AI technologies for precision farming.
These government-backed incentives aim to make it easier for farmers to access AI tools, thereby spurring growth in the market. The active role of governments in supporting technology adoption signifies a robust growth potential for AI applications in agriculture.
Increase in Sustainability Awareness
There is a growing awareness among consumers and farmers about sustainability in agriculture across South America. As environmental concerns rise, the agricultural sector is pushing towards sustainable farming practices, which can be greatly enhanced with the application of Artificial Intelligence.
Reports indicate that 65% of consumers in Brazil are willing to pay more for sustainably produced food. Moreover, organizations like the International Fund for Agricultural Development are working alongside South American nations to promote sustainable agriculture whereby AI can be utilized to optimize resource use, reduce waste, and enhance eco-friendly farming techniques.
This growing trend not only helps protect the environment but also positions AI in agriculture as a crucial component of sustainable development initiatives, thereby driving market demand.
Technological Advancements in AI
Recent advancements in Artificial Intelligence technology are paving the way for innovative applications in the agricultural sector of South America. Technologies such as machine learning, data analytics, and predictive modeling are making significant contributions to precision farming.
According to the National Institute of Agricultural Technology in Argentina, the adoption of AI tools has improved crop management efficiency by nearly 25%. Companies like AgroTools are leading the way by developing AI systems that assist farmers in making data-driven decisions, thus fostering smarter agricultural practices.
Enhanced access to data analytics and AI-driven insights enables farmers to understand weather patterns, optimize irrigation and maximize yield, emphasizing the important role these advancements play in the South America Applied AI in Agriculture Market.
Applied AI in Agriculture Market Technology Insights
The Technology segment of the South America Applied AI in Agriculture Market is experiencing notable growth driven by the increasing demand for efficiency in agricultural practices.
With advancements in technology, Machine Learning has emerged as a pivotal force, enabling farmers to make data-driven decisions by analyzing vast amounts of agricultural data and identifying patterns that can improve yield and resource management.
This segment addresses critical aspects such as crop health monitoring, precision agriculture, and yield prediction, significantly enhancing productivity over traditional farming methods.
Additionally, Computer Vision technology plays an essential role in automating and improving agricultural processes. It is widely utilized for monitoring crop quality, detecting diseases, and even automating harvesting through image analysis.
This technology enhances productivity and enables timely interventions, thereby reducing losses and maximizing harvests, which is vital given the diverse climates and agricultural practices found across South America.
Additionally, Predictive Analytics stands out in the Technology sector as a powerful tool for forecasting agricultural trends and weather patterns, allowing farmers to prepare better for changing conditions.
By leveraging historical data and real-time information, predictive models provide insights that lead to better planning and risk management. The integration of these technologies in the agricultural sector not only promotes sustainable farming practices but also aids in addressing food security challenges faced in South America, given the growing population and fluctuating climate.
The significant impact of these technologies on enhancing operational efficiency and productivity highlights their essential role in the South America Applied AI in Agriculture Market.
As farmers increasingly adopt these advanced technologies, there exists a profound opportunity for development and growth within the industry that aligns with regional agricultural policies and sustainability goals.
The market for Technology in this sector is expected to thrive, driven by innovation and the urgent need to improve agricultural output while maximizing resource efficiency across South America.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Applied AI in Agriculture Market Offering Insights
The South America Applied AI in Agriculture Market is evolving rapidly, particularly within the Offering segment, which encompasses Software and AI-as-a-Service solutions. These technologies are becoming essential to optimize agricultural practices in South America, a region known for its vast agricultural landscape.
With the growing demand for sustainability and efficiency, Software solutions provide farmers advanced tools for precision farming, crop monitoring, and yield forecasting. Meanwhile, AI-as-a-Service allows even smallholder farmers access to sophisticated AI technologies without the need for substantial upfront investments.
This democratization of technology is particularly crucial in South America, where agricultural productivity is vital for economic stability. The region's unique challenges, including climate variability and resource management, make the role of Applied AI significant as it helps in mitigating risks and enhancing decision-making processes.
The increasing integration of these technologies is a driving force in the South America Applied AI in Agriculture Market, propelling its growth and adoption among diverse agricultural stakeholders.
Applied AI in Agriculture Market Application Insights
The South America Applied AI in Agriculture Market has witnessed substantial advancements in its Application segment, notably in fields such as Drone Analytics and Precision Farming.
The focus on Drone Analytics has contributed significantly to the transformation of agricultural practices in the region, enabling farmers to efficiently monitor crop health, optimize irrigation, and improve yield predictions through aerial imagery and machine learning technologies. This innovation not only aids in informed decision-making but also enhances resource allocation.
Precision Farming, on the other hand, utilizes AI-driven insights to tailor agricultural practices, allowing farmers to apply the right amount of inputs at optimal times, leading to increased productivity and sustainability. This segment is gaining traction as it promotes efficient land use and minimizes waste, aligning with the growing emphasis on sustainability in South America.
Furthermore, the region's diverse agricultural landscape is driving the adoption of these technologies, as they address specific local challenges. The integration of AI within these applications is fostering a new era of agricultural efficiency and productivity in South America.
Overall, both Drone Analytics and Precision Farming are crucial in shaping the future of agriculture in the region, driven by the need for technological advancements and sustainable practices.
Applied AI in Agriculture Market Regional Insights
The South America Applied AI in Agriculture Market has shown considerable growth potential across its regional landscape, particularly with key players in Brazil, Mexico, Argentina, and the Rest of South America. Brazil is a significant contributor to the market, leveraging its vast agricultural land and advanced farming technologies.
The integration of Applied AI solutions in Brazil enhances productivity and efficiency, making it a leader in agricultural innovation. Mexico also plays a vital role, manifesting advancements that cater to diverse crop needs, while Argentina adopts Applied AI to improve yields and resource management.
The Rest of South America is dynamic, housing emerging markets that are increasingly adopting AI technologies in agriculture, driven by the need for sustainable agricultural practices and food security.
Each region faces unique challenges like resource allocation and climatic impacts but stands to gain immensely from the adoption of intelligent solutions, presenting a wealth of opportunities for growth and advancements in the agricultural sector.
As such, the South America Applied AI in Agriculture Market segmentation reflects a strong trajectory towards modernization and sustainability through AI technology, which is crucial in meeting the food demands of a growing population in the region.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
South America Applied AI in Agriculture Market Key Players and Competitive Insights
The South America Applied AI in Agriculture Market is experiencing significant growth as a result of advancements in technology and an increasing need for sustainable agricultural practices. Various players in this market are leveraging artificial intelligence to optimize farming processes, enhance crop yields, and efficiently manage resources.
Competitive insights reveal a landscape that is not only driven by technological innovation but also by strategic collaborations, partnerships, and the integration of AI solutions tailored to the unique agricultural challenges present in South America.
This market's dynamics are influenced by a mix of established corporations and emerging startups, each vying for a share in a sector that increasingly emphasizes precision agriculture and data-driven decision-making.
Key Companies in the South America Applied AI in Agriculture Market Include
South America Applied AI in Agriculture Market Developments
At Agrishow 2025 in Brazil in May 2024, Solinftec exhibited 150 units of its fourth-generation Solix Ag Robotics, which combine AI-powered weed detection, solar-powered mobility, and RTK navigation. During pilot trials of the ALICE AI platform in May 2024, the robots reduced the use of herbicides in grain fields by over 90% and in sugarcane by 45%.
With $5.8 million in Series A funding, Agrosmart grew its AI-powered digital farming platform in nine countries throughout 2023, supporting over 100,000 farmers and providing climate modeling, irrigation forecasts, and sustainability monitoring to companies like Cargill and Coca-Cola.
Since June 2023, Corteva Agriscience and parent firm Bunge have improved disease predictions, nitrogen management, and yield optimization across commodities operations by using AI and satellite imaging across Brazilian crops via Climate FieldView and internal modeling tools.
Beginning in late 2023, Taranis has been implemented in Brazilian corn and soybean fields, using machine learning and high-resolution aerial data to detect pests and provide nutrient insufficiency notifications.
From Corteva/Bunge's field analytics and Taranis's aerial diagnostics to Solinftec's AI robotics and Agrosmart's climate intelligence platform, these validated institutional deployments show measurable advancements in the use of AI in South America's agriculture sector since January 2023, driven by regional and international agritech innovators specializing in precision, sustainability, and farm-scale automation.
South America Applied AI in Agriculture Market Segmentation Insights
| Report Attribute/Metric Source: | Details |
| MARKET SIZE 2023 | 194.0(USD Million) |
| MARKET SIZE 2024 | 251.0(USD Million) |
| MARKET SIZE 2035 | 4349.0(USD Million) |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 29.602% (2025 - 2035) |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| BASE YEAR | 2024 |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| HISTORICAL DATA | 2019 - 2024 |
| MARKET FORECAST UNITS | USD Million |
| KEY COMPANIES PROFILED | Ceres Imaging, BASF, CropX, Solinftec, AgriDigital, Precision Hawk, Benson Hill, Corteva Agriscience, Bunge, Taranis, Ag Leader Technology, Agrosmart, The Climate Corporation, FarmLogs, Syngenta |
| SEGMENTS COVERED | Technology, Offering, Application, Regional |
| KEY MARKET OPPORTUNITIES | Precision farming technologies integration, Crop monitoring and yield prediction, Automated irrigation solutions adoption, Pest and disease detection systems, Sustainable farming practices enhancement |
| KEY MARKET DYNAMICS | increasing crop yield, government support initiatives, adoption of IoT technology, rising labor costs, growing demand for sustainability |
| COUNTRIES COVERED | Brazil, Mexico, Argentina, Rest of South America |
Frequently Asked Questions (FAQ):
The South America Applied AI in Agriculture Market is expected to be valued at approximately 4349.0 USD Million in 2035.
The market is anticipated to grow at a compound annual growth rate of 29.602% from 2025 to 2035.
Brazil is projected to dominate the market with a value of 1400.0 USD Million by 2035.
Machine Learning is expected to reach a market value of 1500.0 USD Million in 2035.
The Computer Vision segment is anticipated to be valued at 1200.0 USD Million in 2035.
Argentina's market size is expected to reach approximately 600.0 USD Million by 2035.
Key players include Ceres Imaging, BASF, and CropX among others.
Predictive Analytics is expected to achieve a market value of 1649.0 USD Million in 2035.
The Rest of South America is projected to have a market size of 1549.0 USD Million in 2035.
In 2024, the market size for the South America Applied AI in Agriculture Market was valued at 251.0 USD Million.
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Team Lead - Research she holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.
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